Data Scientist (Medtech)

TL;DR

Data Scientist (Medtech): Leveraging analytical skills and machine learning to extract insights from complex datasets and drive data-driven decision-making with an accent on predictive modeling and cross-functional collaboration. Focus on designing, building, validating, and operationalizing models to solve challenging business problems.

Location: Based in Austin, Texas; remote may be considered for the right fit

Company

hirify.global is a healthcare-focused organization utilizing data science to improve medical review processes.

What you will do

• Collaborate with stakeholders to identify business challenges solvable through data analysis.
• Gather, clean, and wrangle data from SQL databases, APIs, and web scraping to ensure modeling accuracy.
• Design and implement algorithms and predictive models using machine learning to forecast outcomes or categorize information.
• Perform Exploratory Data Analysis (EDA) to uncover hidden patterns, trends, and anomalies in datasets.
• Translate technical findings into data stories using Tableau or Power BI to influence executive decision-making.

Requirements

• Degree in a quantitative field (Math, CS, Stats) or equivalent professional experience.
• Proficiency in Python or R and SQL for database querying.
• Strong foundation in linear algebra, calculus, and statistical modeling.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Critical thinking, curiosity, and ability to explain complex concepts to non-technical audiences.

Culture & Benefits

• Opportunity to work within a dynamic and global team of developers and analysts.
• Experience collaborating with remote teams across different geographies.